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Critical Points to Determine Persistence Homology
Published 16 May 2018 in cs.CV, cs.AI, and cs.CG | (1805.06148v1)
Abstract: Computation of the simplicial complexes of a large point cloud often relies on extracting a sample, to reduce the associated computational burden. The study considers sampling critical points of a Morse function associated to a point cloud, to approximate the Vietoris-Rips complex or the witness complex and compute persistence homology. The effectiveness of the novel approach is compared with the farthest point sampling, in a context of classifying human face images into ethnics groups using persistence homology.
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